Usage Information
Citation Information: J Clin Invest. 2008;118(5):1619-1622. https://doi.org/10.1172/JCI35655.
Abstract
Obesity predisposes toward renal disease independently of diabetes and hypertension. In this issue of the JCI, Sharma and colleagues assessed the role of adiponectin, an adipose-derived hormone, in the pathogenesis of albuminuria (see the related article beginning on page 1645). Obese African Americans had reduced adiponectin levels associated with albuminuria. Adiponectin deficiency in mice induced oxidative stress, fusion of podocyte foot processes in the kidney glomerulus, and urinary albumin excretion. Adiponectin treatment reversed these abnormalities, likely through activation of AMPK. The benefits of adiponectin were observed in diabetic and nondiabetic mice. These findings suggest that adiponectin is a biomarker for kidney disease and may be targeted for prevention and treatment.
Authors
Rexford S. Ahima
Usage data is cumulative from February 2024 through February 2025.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 151 | 44 |
| 52 | 24 | |
| Figure | 123 | 5 |
| Citation downloads | 71 | 0 |
| Totals | 397 | 73 |
| Total Views | 470 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)